There are several methods that aim to improve the sample efficiency of RL agents.
Curriculum learning aims to accomplish this by forming a curriculum of different tasks that progressively become more difficult [1]} whilst model based RL aims to gain more detailed world knowledge of the environment more efficiently to reduce the number of steps that need to be taken in it [2]}, [3]}, [4]}, [5]}.
Other methods to improve the sample efficiency of RL are based on incorporating oracle policies, three of which are discussed next.
